Your First Machine Learning Project in R Step-By-Step

Last Updated on October 8, 2019

Do you want to do machine learning using R, but you’re having trouble getting started?

In this post you will complete your first machine learning project using R.

In this step-by-step tutorial you will:

  1. Download and install R and get the most useful package for machine learning in R.
  2. Load a dataset and understand it’s structure using statistical summaries and data visualization.
  3. Create 5 machine learning models, pick the best and build confidence that the accuracy is reliable.

If you are a machine learning beginner and looking to finally get started using R, this tutorial was designed for you.

Kick-start your project with my new book Machine Learning Mastery With R, including step-by-step tutorials and the R source code files for all examples.

Let’s get started!

Your First Machine Learning Project in R Step-by-Step

Your First Machine Learning Project in R Step-by-Step
Photo by Henry Burrows, some rights reserved.

How Do You Start Machine Learning in R?

The best way to learn machine learning is by designing and completing
To finish reading, please visit source site